Engineering Manager

Tech Lead Manager — Business Acceleration & AI

Location: Jakarta

Reports to: Engineering Manager / Senior EM

Experience: 8–10 years

About BukuWarung

BukuWarung is Indonesia's leading financial services platform for micro, small and medium merchants — the warungs that make up the backbone of Indonesia's economy. Our Business Acceleration & AI function exists to make a lean org move like a much larger one: building the internal tools, workflow automations and AI-native products that remove friction for ops, support, risk and GTM teams — shipped in days, not quarters.

The Role

We're hiring a Tech Lead Manager to own a slice of Business Acceleration & AI — architecture, delivery and people — for a team of 3–5 engineers. This is a high-velocity builder's seat: you and your team go from a stakeholder's problem to a working, AI-powered tool in days, using AI coding agents and LLM-native patterns as your default way of building, not a side experiment. You report to an Engineering Manager / Senior EM and act as the technical and people anchor for your pod.

What you'll do

• Own architecture and technical direction for rapid internal tools and AI-native product builds

• Stay hands-on: personally build using AI coding agents and LLM-native patterns, going from idea to working product in days — setting the pace and quality bar by doing, not by review comment

• Manage, coach and grow 3–5 engineers — 1:1s, performance conversations, hiring, and levelling calls

• Partner directly with business, ops, risk and GTM stakeholders to scope ambiguous problems fast, without waiting on a full PRD

• Make fast build-vs-buy-vs-prompt calls — know when a thin AI wrapper beats a custom build, and when it doesn't

• Set and evolve how the team uses AI coding agents, LLM APIs and automation platforms to multiply output

• Own reliability and iteration speed for what you ship — these are internal-facing tools, but business-critical ones, so breakages have real cost

• Bring judgment on where AI tooling should replace manual work entirely versus augment it

What we're looking for

• 8–10 years of software engineering experience, with real ownership of shipping products end-to-end

• Significant, recent hands-on experience building with AI/LLM technology — agents, RAG, LLM APIs, AI coding tools — not occasional Copilot use, but AI-powered tools or products you've actually shipped

• Proven ability to operate hands-on while managing people — this is not a seat for someone who wants to step back from the code

• Direct experience managing or leading a small engineering team, formally or as a tech lead with real people responsibilities

• A demonstrated bias for speed — a track record of shipping 0-to-1 tools or products in days or weeks, not quarters

• Strong product instincts — comfortable scoping ambiguous, under-specified problems directly with business stakeholders

• Judgment on where AI tooling helps and where it doesn't — able to articulate a real boundary, not a slogan

• Comfortable operating in a fast-moving, less-finished environment than a mature platform — this is a builder's seat, not a maintainer's

Nice to have

• Experience building internal tools or platforms for ops, support, risk or GTM teams

• Experience with agentic coding workflows (e.g. Claude Code, Cursor, or similar) at production scale

• A track record of raising the technical or people bar around you — an artifact, a process, or a person you've grown

Our engineering bar

BukuWarung's engineering culture is entrepreneurial — we value input quality and product thinking over raw coding output. We hire engineers who push back with evidence, own outcomes beyond their immediate remit, and are honest about what they know and don't. AI Leverage with Judgment is part of our standard evaluation bar across engineering — for this role specifically, it carries extra weight, since building fast with AI is the core of the job, not an add-on skill.